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On the Differential Privacy of Bayesian Inference

On the Differential Privacy of Bayesian Inference

22 December 2015
Zuhe Zhang
Benjamin I. P. Rubinstein
Christos Dimitrakakis
ArXiv (abs)PDFHTML

Papers citing "On the Differential Privacy of Bayesian Inference"

7 / 7 papers shown
Title
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Yu Wang
S. Fienberg
Alex Smola
102
249
0
26 Feb 2015
Bayesian Differential Privacy through Posterior Sampling
Bayesian Differential Privacy through Posterior Sampling
Christos Dimitrakakis
B. Nelson
and Zuhe Zhang
Aikaterini Mitrokotsa
Benjamin I. P. Rubinstein
118
118
0
05 Jun 2013
The Power of Linear Reconstruction Attacks
The Power of Linear Reconstruction Attacks
S. Kasiviswanathan
M. Rudelson
Adam D. Smith
AAML
123
54
0
08 Oct 2012
Convergence Rates for Differentially Private Statistical Estimation
Convergence Rates for Differentially Private Statistical Estimation
Kamalika Chaudhuri
Daniel J. Hsu
FedML
95
50
0
27 Jun 2012
A Learning Theory Approach to Non-Interactive Database Privacy
A Learning Theory Approach to Non-Interactive Database Privacy
Avrim Blum
Katrina Ligett
Aaron Roth
105
550
0
10 Sep 2011
Differentially Private Empirical Risk Minimization
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri
C. Monteleoni
Anand D. Sarwate
168
1,490
0
01 Dec 2009
Learning in a Large Function Space: Privacy-Preserving Mechanisms for
  SVM Learning
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
Benjamin I. P. Rubinstein
Peter L. Bartlett
Ling Huang
N. Taft
117
295
0
30 Nov 2009
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